Riegelsville, PA
How exposed is Riegelsville to wildfire?
USFS's Wildfire Risk to Communities model puts Riegelsville at the 25th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 473 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Riegelsville at the 23rd percentile, close to its 25th-percentile risk score.
Riegelsville's building exposure, zone by zone
473 buildings are counted in Riegelsville, and 61.7% of them are Indirect exposure — ember-driven risk rather than the 38.3% in Direct exposure or the 0% rated Minimal.
Where Riegelsville ranks
Riegelsville's risk sits at a similar level relative to Pennsylvania (29th percentile statewide) as it does nationally (25th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Riegelsville ranks 23,710 for wildfire risk (1 is highest) and 17,830 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,419 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
What this risk score means for insurance
Riegelsville's moderate wildfire rating (25th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Riegelsville
With ember exposure the dominant pattern in Riegelsville (61.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Riegelsville's figures come from
Every one of the two percentiles behind Riegelsville's 23,710-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Riegelsville's dominant indirect exposure actually means, with real examples from across the dataset.